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This paper introduces a variational method for destriping data acquired by pushbroom-type satellite imaging systems. The model leverages sparsity in signals and is based on current research in sparse optimization and compressed sensing. It is based on the basic principles of regularization and data fidelity with certain constraints using modern methods in variational optimization — namely total variation...
Airborne acquisition and ground-view 3D point cloud provide complementary 3D information at city scale. A complete but lacks ground-view details, while the latter is incomplete for higher floors and severe occlusion. In this paper, First, a volumetric fusion method based on graph cuts were applied for fusing of airborne and terrestrial 3D LiDAR data. Second, we propose a method of constraints based...
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